In this study, we apply several advanced machine learning techniques including extreme gradient boosting (XGBoost), support vector (SVM), and a deep neural network to predict bankruptcy using easily obtainable financial data of 3728 Belgian Small Medium Enterprises (SME’s) during the period 2002–2012. Using above-mentioned techniques, bankruptcies with global accuracy 82–83% only three ratios: ...

Machine learning techniques play an increasingly prominent role in medical diagnosis. With the use of these techniques, patients’ data can be analyzed to find patterns or facts that are difficult explain, making diagnoses more reliable and convenient. The purpose this research was compare efficiency diabetic classification models using four machine techniques: decision trees, random forests, su...

Deep learning has now become an integral part of today's world and advancement in the field deep gained a huge development. Due to extensive use fast growth learning, it captured attention researchers speaker recognition. A detailed investigation regarding process becomes essential helpful for designing robust applications recognition, both verification identification. This paper reviews recogn...